Is Llm Brand Monitor Mcp safe to install?

SaferSkills independently audited Llm Brand Monitor Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.

CategoryWeightCategory scoreContribution

Securityprompt, exec, net, exfil, eval

35%

100

35.0 pts

Supply chainhash, typosquat, maintainer, lockfile

20%

100

20.0 pts

Maintenancestaleness, pinning, CI

15%

100

15.0 pts

TransparencySKILL.md, perms, README

15%

100

15.0 pts

Communityinstalls, verify, response

15%

100

15.0 pts

Findings & checks · 0 flagged

Securityscore 100 · 0 findings

✓—All security checks passedNo findings in this category for the latest scan.pass

Supply chainscore 100 · 0 findings

✓—All supply chain checks passedNo findings in this category for the latest scan.pass

Maintenancescore 100 · 0 findings

✓—All maintenance checks passedNo findings in this category for the latest scan.pass

Transparencyscore 100 · 0 findings

✓—All transparency checks passedNo findings in this category for the latest scan.pass

Communityscore 100 · 0 findings

✓—All community checks passedNo findings in this category for the latest scan.pass

The primary manifest — the file an agent reads to learn what this artifact does.

README.md · 1 file

README.md5.2 KB · Markdown

LLM Brand Monitor MCP Server

MCP server for LLM Brand Monitor — a platform that tracks how AI models mention your brand.

Connect Claude, Cursor, Windsurf, or any MCP-compatible client to manage brand monitoring projects, run scans across 350+ LLMs, and analyze results — all through natural language.

Quick Start

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "lbm": {
      "command": "npx",
      "args": ["-y", "@serpstat/llm-brand-monitor-mcp"],
      "env": {
        "LBM_API_KEY": "lbm_your_key_here"
      }
    }
  }
}

Claude Code

claude mcp add lbm-mcp -e LBM_API_KEY=lbm_your_key_here -- npx -y @serpstat/llm-brand-monitor-mcp

From Source

git clone https://github.com/SerpstatGlobal/llm-brand-monitor-mcp.git
cd llm-brand-monitor-mcp
npm install && npm run build

Then add to your MCP client config:

{
  "mcpServers": {
    "lbm": {
      "command": "node",
      "args": ["/path/to/llm-brand-monitor-mcp/dist/index.js"],
      "env": {
        "LBM_API_KEY": "lbm_your_key_here"
      }
    }
  }
}

MCP Inspector

LBM_API_KEY=lbm_your_key_here npx @modelcontextprotocol/inspector node dist/index.js

Getting an API Key

Sign up at llmbrandmonitor.com
Open your Profile page
Copy your API key (starts with lbm_)

Tools

17 tools across 4 categories:

Projects (7 tools)

Tool	What it does
`lbm_list_projects`	List all brand monitoring projects
`lbm_get_project`	Get project details with prompts and models
`lbm_create_project`	Create a new project
`lbm_update_project`	Update project name, models, or monitoring settings
`lbm_archive_project`	Archive a project
`lbm_add_prompts`	Add monitoring prompts to a project
`lbm_delete_prompt`	Remove a prompt from a project

Scans (3 tools)

Tool	What it does
`lbm_run_scan`	Start a scan — sends prompts to LLMs and collects responses
`lbm_get_scan_status`	Check scan progress
`lbm_list_scans`	View scan history

Results (5 tools)

Tool	What it does
`lbm_list_results`	Browse monitoring results (brand mentions, status)
`lbm_get_transcript`	Read the full LLM response for a specific result
`lbm_list_competitors`	See which competitor brands LLMs mention
`lbm_list_links`	See which URLs and domains LLMs cite
`lbm_get_history`	Competitor mention trends over time

Models & Usage (2 tools)

Tool	What it does
`lbm_list_models`	List 350+ available LLM models
`lbm_get_usage`	Check credit balance and usage stats

Typical Workflow

You: "What brand monitoring projects do I have?"
Claude: → lbm_list_projects

You: "Run a scan on the Serpstat project"
Claude: → lbm_run_scan (asks you to confirm — scans spend credits)
       → lbm_get_scan_status (polls until complete)

You: "Show me the results — which models mentioned my brand?"
Claude: → lbm_list_results

You: "What did GPT-5 say exactly?"
Claude: → lbm_get_transcript

You: "Who are my competitors according to AI models?"
Claude: → lbm_list_competitors

Token-Efficient Responses

All list tools return compact CSV by default instead of verbose JSON. This reduces token usage by 80–96%, keeping responses within context limits.

# Default (CSV) — 3-6 key columns
competitor,mentions,visibility_pct
Competitor A,178,72.4
Competitor B,105,42.7

# Full JSON — pass include_all_fields: true
{"data": [{"competitor_id": "...", "competitor_name": "Competitor A", ...}]}

All list tools support offset and limit for pagination.

Configuration

Variable	Required	Default	Description
`LBM_API_KEY`	Yes	—	API key from llmbrandmonitor.com
`LBM_API_BASE_URL`	No	`https://llmbrandmonitor.com/api/v1`	API base URL
`LOG_LEVEL`	No	`info`	`error`, `warn`, `info`, `debug`

Error Handling

Errors include actionable hints for the LLM:

Error	Hint
`INSUFFICIENT_CREDITS`	Check balance with `lbm_get_usage`. Top up at llmbrandmonitor.com/pricing
`RATE_LIMITED`	Wait a few seconds and retry
`NOT_FOUND`	Call `lbm_list_projects` to verify the ID exists
`UNAUTHORIZED`	API key is invalid — check `LBM_API_KEY`

Development

npm install
npm run build    # TypeScript → dist/
npm test         # 126 tests

API Documentation

Full REST API docs: llmbrandmonitor.com/api-docs

License

MIT

Llm Brand Monitor Mcp— agent skill

Is Llm Brand Monitor Mcp safe to install?

LLM Brand Monitor MCP Server

Quick Start

Claude Desktop

Claude Code

From Source

MCP Inspector

Getting an API Key

Tools

Projects (7 tools)

Scans (3 tools)

Results (5 tools)

Models & Usage (2 tools)

Typical Workflow

Token-Efficient Responses

Configuration

Error Handling

Development

API Documentation

License

Audit the pieces. Scan the whole. Decide.